Democratizing Uncertainty Quantification
Abstract
Uncertainty Quantification (UQ) is vital to safety-critical model-based analyses, but the widespread adoption of sophisticated UQ methods is limited by technical complexity. In this paper, we introduce UM-Bridge (the UQ and Modeling Bridge), a high-level abstraction and software protocol that facilitates universal interoperability of UQ software with simulation codes. It breaks down the technical complexity of advanced UQ applications and enables separation of concerns between experts. UM-Bridge democratizes UQ by allowing effective interdisciplinary collaboration, accelerating the development of advanced UQ methods, and making it easy to perform UQ analyses from prototype to High Performance Computing (HPC) scale. In addition, we present a library of ready-to-run UQ benchmark problems, all easily accessible through UM-Bridge. These benchmarks support UQ methodology research, enabling reproducible performance comparisons. We demonstrate UM-Bridge with several scientific applications, harnessing HPC resources even using UQ codes not designed with HPC support.
Cite
@article{arxiv.2402.13768,
title = {Democratizing Uncertainty Quantification},
author = {Linus Seelinger and Anne Reinarz and Mikkel B. Lykkegaard and Robert Akers and Amal M. A. Alghamdi and David Aristoff and Wolfgang Bangerth and Jean Bénézech and Matteo Diez and Kurt Frey and John D. Jakeman and Jakob S. Jørgensen and Ki-Tae Kim and Benjamin M. Kent and Massimiliano Martinelli and Matthew Parno and Riccardo Pellegrini and Noemi Petra and Nicolai A. B. Riis and Katherine Rosenfeld and Andrea Serani and Lorenzo Tamellini and Umberto Villa and Tim J. Dodwell and Robert Scheichl},
journal= {arXiv preprint arXiv:2402.13768},
year = {2024}
}
Comments
Add Benjamin Kent as co-author in accordance with the paper's published version